Method and an electronic device to decode a micro encrypted code

Abstract

The present disclosure relates to an electronic device for decoding encrypted codes, particularly micro QR codes, using advanced imaging, AI neural networks, and processing techniques. The device includes a high-performance processor, high-resolution image sensors, a LiDAR sensor, and a magnification unit with digital and optical zoom capabilities. The device captures images of encrypted codes, determines their size, and performs iterative magnification and enhancement to improve legibility. The decoding process is powered by a pre-stored database and dynamically adjusts settings based on real-time feedback and AI-driven analysis. The AI neural network is trained to repair incomplete or partially captured codes, enhancing the decoding accuracy even under suboptimal conditions. The device includes an AR unit for visual guidance to help the user position the device correctly. A notification unit provides visual and auditory cues. This combination of hardware, software, and AI components ensures efficient and accurate decoding of very small codes.